Improved autoregressive integrated moving average model for COVID-19 prediction by using statistical significance and clustering techniques

PURPOSE: The COVID-19 pandemic has affected more than 192 countries. The condition results in a respiratory illness (e.g., influenza) with signs and symptoms such as cold, cough, fever, and breathing difficulties. Predicting new instances of COVID-19 is always a challenging task. METHODS: This study...

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Detalles Bibliográficos
Autores principales: Ilu, Saratu Yusuf, Prasad, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896886/
https://www.ncbi.nlm.nih.gov/pubmed/36776910
http://dx.doi.org/10.1016/j.heliyon.2023.e13483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896886/
https://www.ncbi.nlm.nih.gov/pubmed/36776910
http://dx.doi.org/10.1016/j.heliyon.2023.e13483

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